Jan Seebacher

3.1k total citations
35 papers, 2.1k citations indexed

About

Jan Seebacher is a scholar working on Molecular Biology, Oncology and Spectroscopy. According to data from OpenAlex, Jan Seebacher has authored 35 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 8 papers in Oncology and 6 papers in Spectroscopy. Recurrent topics in Jan Seebacher's work include Genomics and Chromatin Dynamics (7 papers), Advanced Proteomics Techniques and Applications (6 papers) and DNA Repair Mechanisms (5 papers). Jan Seebacher is often cited by papers focused on Genomics and Chromatin Dynamics (7 papers), Advanced Proteomics Techniques and Applications (6 papers) and DNA Repair Mechanisms (5 papers). Jan Seebacher collaborates with scholars based in Switzerland, Germany and United States. Jan Seebacher's co-authors include Heinrich Vahrenkamp, Steven P. Gygi, Ruedi Aebersold, Danesh Moazed, Oliver Rinner, Karim Mekhail, Lukas Mueller, Thomas Walzthoeni, Martin Beck and Markus Mueller and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Jan Seebacher

34 papers receiving 2.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jan Seebacher Switzerland 24 1.4k 394 394 258 188 35 2.1k
Florence Gonnet France 23 611 0.4× 285 0.7× 357 0.9× 184 0.7× 290 1.5× 58 1.5k
Stephen F. Betz United States 24 2.6k 1.9× 325 0.8× 196 0.5× 291 1.1× 616 3.3× 58 3.1k
Huili Zhai United States 24 1.5k 1.1× 411 1.0× 263 0.7× 222 0.9× 121 0.6× 30 2.2k
James W. Bryson United States 13 1.0k 0.7× 159 0.4× 166 0.4× 172 0.7× 419 2.2× 26 1.4k
Lora Hamuro United States 23 2.0k 1.4× 238 0.6× 254 0.6× 510 2.0× 170 0.9× 47 2.7k
Chris Dealwis United States 24 968 0.7× 381 1.0× 105 0.3× 138 0.5× 333 1.8× 51 1.7k
Akane Kawamura United Kingdom 36 3.4k 2.5× 350 0.9× 144 0.4× 415 1.6× 144 0.8× 101 4.5k
David J. Hosfield United States 28 2.2k 1.6× 359 0.9× 74 0.2× 173 0.7× 235 1.3× 37 3.0k
Keith Rickert United States 23 1.0k 0.7× 218 0.6× 82 0.2× 475 1.8× 174 0.9× 40 1.8k
Jens T. Kaiser United States 29 2.2k 1.6× 509 1.3× 64 0.2× 258 1.0× 386 2.1× 46 3.2k

Countries citing papers authored by Jan Seebacher

Since Specialization
Citations

This map shows the geographic impact of Jan Seebacher's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jan Seebacher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Seebacher more than expected).

Fields of papers citing papers by Jan Seebacher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan Seebacher. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jan Seebacher. The network helps show where Jan Seebacher may publish in the future.

Co-authorship network of co-authors of Jan Seebacher

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Seebacher. A scholar is included among the top collaborators of Jan Seebacher based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jan Seebacher. Jan Seebacher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Soneson, Charlotte, Michael Stadler, Michaela Schwaiger, et al.. (2025). A comprehensive Schizosaccharomyces pombe atlas of physical transcription factor interactions with proteins and chromatin. Molecular Cell. 85(7). 1426–1444.e8. 1 indexed citations
2.
Sandate, Colby R., Luke Isbel, Georg Kempf, et al.. (2025). Nucleosomes specify co-factor access to p53. Molecular Cell. 85(15). 2919–2936.e12.
3.
Gudipati, Rajani Kanth, Dimos Gaidatzis, Jan Seebacher, et al.. (2024). Deep quantification of substrate turnover defines protease subsite cooperativity. Molecular Systems Biology. 20(12). 1303–1328. 1 indexed citations
4.
Soneson, Charlotte, Vytautas Iešmantavičius, Daniel Heß, Michael Stadler, & Jan Seebacher. (2023). einprot: flexible, easy-to-use, reproducible workflowsfor statistical analysis of quantitative proteomics data. The Journal of Open Source Software. 8(89). 5750–5750. 3 indexed citations
5.
Welte, Thomas, Michael Stadler, Daniel Heß, et al.. (2023). Convergence of multiple RNA-silencing pathways on GW182/TNRC6. Molecular Cell. 83(14). 2478–2492.e8. 10 indexed citations
6.
Schmidt, J.M., et al.. (2022). A mechanism of origin licensing control through autoinhibition of S. cerevisiae ORC·DNA·Cdc6. Nature Communications. 13(1). 1059–1059. 12 indexed citations
7.
Setiaputra, Dheva, Cristina Escribano‐Diaz, Pooja Sadana, et al.. (2022). RIF1 acts in DNA repair through phosphopeptide recognition of 53BP1. Molecular Cell. 82(7). 1359–1371.e9. 21 indexed citations
8.
Delaney, Colin, Stephen P. Methot, Véronique Kalck, et al.. (2022). SETDB1-like MET-2 promotes transcriptional silencing and development independently of its H3K9me-associated catalytic activity. Nature Structural & Molecular Biology. 29(2). 85–96. 13 indexed citations
9.
Schmid, Christoph D., Vytautas Iešmantavičius, Andrew Seeber, et al.. (2021). Damage-induced chromatome dynamics link Ubiquitin ligase and proteasome recruitment to histone loss and efficient DNA repair. Molecular Cell. 81(4). 811–829.e6. 38 indexed citations
10.
Cavadini, Simone, Andreas D. Schenk, Alexandra Graff-Meyer, et al.. (2021). Structure of the human C9orf72-SMCR8 complex reveals a multivalent protein interaction architecture. PLoS Biology. 19(7). e3001344–e3001344. 7 indexed citations
11.
Ginno, Paul A., Lukas Burger, Jan Seebacher, Vytautas Iešmantavičius, & Dirk Schübeler. (2018). Cell cycle-resolved chromatin proteomics reveals the extent of mitotic preservation of the genomic regulatory landscape. Nature Communications. 9(1). 4048–4048. 66 indexed citations
12.
An, Jian, Ragna Sack, Jan Seebacher, et al.. (2017). pSILAC mass spectrometry reveals ZFP91 as IMiD-dependent substrate of the CRL4CRBN ubiquitin ligase. Nature Communications. 8(1). 15398–15398. 135 indexed citations
13.
Grzmil, Michal, Jan Seebacher, Daniel Heß, et al.. (2016). Inhibition of MNK pathways enhances cancer cell response to chemotherapy with temozolomide and targeted radionuclide therapy. Cellular Signalling. 28(9). 1412–1421. 44 indexed citations
14.
Noort, Vera van, Jan Seebacher, Samuel L. Bader, et al.. (2012). Cross‐talk between phosphorylation and lysine acetylation in a genome‐reduced bacterium. Molecular Systems Biology. 8(1). 571–571. 148 indexed citations
15.
Seebacher, Jan & Anne‐Claude Gavin. (2011). SnapShot: Protein-Protein Interaction Networks. Cell. 144(6). 1000–1000.e1. 49 indexed citations
16.
Dufu, Kobina, et al.. (2010). ATP is required for interactions between UAP56 and two conserved mRNA export proteins, Aly and CIP29, to assemble the TREX complex. Genes & Development. 24(18). 2043–2053. 143 indexed citations
17.
Rinner, Oliver, Jan Seebacher, Thomas Walzthoeni, et al.. (2008). Identification of cross-linked peptides from large sequence databases. Nature Methods. 5(4). 315–318. 356 indexed citations
18.
Mekhail, Karim, Jan Seebacher, Steven P. Gygi, & Danesh Moazed. (2008). Role for perinuclear chromosome tethering in maintenance of genome stability. Nature. 456(7222). 667–670. 194 indexed citations
19.
Nazabal, Alexis, et al.. (2007). Epitope mapping on bovine prion protein using chemical cross‐linking and mass spectrometry. Journal of Mass Spectrometry. 43(2). 185–195. 49 indexed citations
20.
Seebacher, Jan, Parag Mallick, Ning Zhang, et al.. (2006). Protein Cross-Linking Analysis Using Mass Spectrometry, Isotope-Coded Cross-Linkers, and Integrated Computational Data Processing. Journal of Proteome Research. 5(9). 2270–2282. 102 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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